Key Takeaways
- 50.9% divorce rate for first marriages among U.S. women in 2010—measured as the estimated proportion of marriages that end in divorce within 30 years
- 42.2% of first marriages in 2008 were expected to end in divorce by 30 years—measured as the cumulative probability of divorce
- In Canada, 47,000 divorces were recorded in 2021—measured as the number of divorces
- 2.2% of U.S. adults are estimated to have at-risk gambling—measured as the proportion with at-risk gambling behaviors
- In Sweden, 0.6% of adults were classified as problem gamblers in 2019—measured as problem gambling prevalence
- Among people with gambling disorder, 90% reported at least one adverse life event related to gambling—measured as a proportion in a clinical sample
- In a systematic review, gambling problems were associated with an increased risk of relationship and family problems—measured as a consistent direction of association across studies
- In a study of U.S. married/partnered adults, 10.7% of those with gambling problems reported relationship problems—measured as prevalence within a subgroup
- The global gambling market was $472.2 billion in 2023—measured as global gambling market value
- The global online gambling market was $83.0 billion in 2023—measured as online gambling market value
- UK online gambling gross win was £5.4 billion in 2023—measured as online gross gambling yield
- In the U.S., SAMHSA’s National Helpline received over 1.8 million calls in 2023—measured as total calls to the helpline
- In 2022, the UK introduced mandatory customer interaction requirements for online slot and casino products—measured as a regulatory change under the LCCP
- In the EU, at least 20 countries include gambling harm measures in national strategies or legislation—measured as count of jurisdictions identified in a policy report
Gambling can strain marriages and families, while addiction affects roughly 0.6% to 2.2% of adults globally.
Divorce Rates
Divorce Rates Interpretation
Gambling Prevalence
Gambling Prevalence Interpretation
Gambling Consequences
Gambling Consequences Interpretation
Market Economics
Market Economics Interpretation
Policy & Treatment
Policy & Treatment Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Engström. (2026, February 13). Gambling And Divorce Statistics. Gitnux. https://gitnux.org/gambling-and-divorce-statistics
Marcus Engström. "Gambling And Divorce Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gambling-and-divorce-statistics.
Marcus Engström. 2026. "Gambling And Divorce Statistics." Gitnux. https://gitnux.org/gambling-and-divorce-statistics.
References
- 1cdc.gov/nchs/data/nvsr/nvsr60/nvsr60_05.pdf
- 2cdc.gov/nchs/data/nvsr/nvsr65/nvsr65_05.pdf
- 3www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310038601
- 4ncbi.nlm.nih.gov/pmc/articles/PMC3688600/
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- 6ncbi.nlm.nih.gov/pmc/articles/PMC10449472/
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- 9ncbi.nlm.nih.gov/pmc/articles/PMC3420742/
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- 7pubmed.ncbi.nlm.nih.gov/29926001/
- 10onlinelibrary.wiley.com/doi/10.1002/bdm.1906
- 28onlinelibrary.wiley.com/doi/10.1111/add.15349
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- 14psycnet.apa.org/record/2017-08977-001
- 15tandfonline.com/doi/abs/10.1080/14459795.2017.1350486
- 17mordorintelligence.com/industry-reports/gambling-market
- 18mordorintelligence.com/industry-reports/online-gambling-market
- 19gamblingcommission.gov.uk/statistics-and-research/publication/annual-gambling-industry-statistics
- 23gamblingcommission.gov.uk/news-action-and-statistics/news/2022/mandatory-customer-interaction-rules-for-online-slot-and-casino
- 26gamblingcommission.gov.uk/statistics-and-research/publication/safer-gambling-update-and-research
- 20grandviewresearch.com/industry-analysis/sports-betting-market
- 21grandviewresearch.com/industry-analysis/online-sports-betting-market
- 22samhsa.gov/find-help/samhsa-national-helpline
- 29samhsa.gov/find-help/988
- 24coe.int/en/web/portal/-/gambling-addiction-a-growing-concern-for-european-citizens
- 25ncsl.org/topics/financial-services/state-gambling-laws
- 27sciencedirect.com/science/article/pii/S0306460321001528







